Google DeepMind 'learns' the London Underground map to find best route

Google DeepMind ‘learns’ the London Underground map to find best route

New research combines neural networks with external memory Google’s DeepMind has beefed up machine learning capability by coupling a neural network with external memory, using it to find the shortest path between stations on the London underground. Neural networks – a system modelled on how neurons are connected and work in the brain – are good at processing data but bad at taking on more algorithms to tackle more tasks because of a lack of memory. The researchers from DeepMind, however, have taken steps to solve this problem by creating a differentiable neural computer (DNC). Results published in a paper in Nature show that a DNC can read and write from an external memory and outperforms DeepMind’s neural Turing machine, a system with short-term memory. The information is stored in…